Recently, as the internet usage is increasing, accordingly generated text data is also increasing. Because this text data on the internet includes users’ comments, the text data on the Internet can help you get users’ opinion more efficiently and effectively. The topic of text mining has been actively studied recently, but it primarily focuses on either the content analysis or various improving techniques mostly for the performance of target mining algorithms. The objective of this study is to propose a novel method of analyzing the user’s requirements by utilizing the text-mining technique. To complement the existing survey techniques, this study seeks to present priorities together with efficient extraction of customer requirements from the text data. This study seeks to identify users’ requirements, derive the priorities of requirements, and identify the detailed causes of high-priority requirements. The implications of this study are as follows. First, this study tried to overcome the limitations of traditional investigations such as surveys and VOCs through text mining of online text data. Second, decision makers can derive users’ requirements and prioritize without having to analyze numerous text data manually. Third, user priorities can be derived on a quantitative basis.

1. 서 론
2. 이론적 배경
    2.1 텍스트 마이닝
    2.2 품질관리 기법
3. 사용자 요구사항 우선순위 도출 방법론
    3.1 서비스/제품 선정 및 자료수집
    3.2 자료 전처리
    3.3 요구사항 추출
    3.4 요구사항 우선순위 도출
    3.5 요구사항 세부요인 분석
4. 사례 적용
    4.1 서비스 선정 및 자료수집
    4.2 자료 전처리
    4.3 요구사항 추출
    4.4 요구사항 우선순위 추출
    4.5 요구사항 세부요인 분석
5. 결 론
References

• Mi Yeon Jeong(한양대학교 일반대학원 경영컨설팅학과) | 정미연
• Sun-Woo Heo(한양대학교 일반대학원 경영컨설팅학과) | 허선우
• Dong Hyun Baek(한양대학교 경상대학 경영학부) | 백동현 Corresponding Author